State of AI Agents
The agentic AI playbook for the enterprise
AI agents are starting to show what they can really do. Everyone’s talking about them, but only a small percentage of companies have agents in production. What does it take to get AI agents to work for your business? What are the leading companies doing differently than those that are stagnating?
The 2026 State of AI Agents report shares the latest in enterprise AI, including the most common use cases, database transformation and high priorities like governance and evaluation. See how more than 20...
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KAN Group case study: Polish Manufacturer Enhances Quality of Service for Customers and Staff with Increased Network Performance, Reliability, and Security
Aiming to converge its IT and OT environments to increase efficiency, KAN Group took the opportunity to address its wider networking and security challenges. Following a market evaluation, the company deployed Fortinet Secure SD-WAN for a unified network and security infrastructure capable of providing broad visibility and control, especially for branches and remote users.
The secure networking, “work from anywhere,” and security operations solutions provided by Fortinet are consolidated on the Fortinet Security Fabric for integrated manag...
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Why Legacy Accelerometers Fail Aerospace and Defense Programs
Legacy accelerometers can introduce hidden risks into aerospace and defense programs, including missed low-frequency data, signal drift, EMI sensitivity, and unexpected sourcing challenges. This guide explains why these limitations can lead to retests, delays, and increased program costs, and how modern MEMS DC accelerometers address these issues.
You’ll learn how true DC response improves flight testing, navigation, and structural monitoring, why long-term stability and EMI immunity matter in harsh environments, and what to look for in a ...
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Maximize AI innovation with open source models
From personalized customer experiences and automated content creation to enhanced decision support, generative AI helps businesses streamline processes, increase productivity, and explore new possibilities. By investing in innovative AI solutions, enterprise organizations can strengthen their ability to navigate complexity, respond to shifting demands, and achieve strategic goals.
However, for many enterprises, realizing the full potential of generative AI technologies presents challenges. Proprietary large language models (LLMs) come with ...
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Get started with AI for enterprise: A beginner’s guide
From customer engagement, support, and sales, through to IT infrastructure, processes, code development, and solution delivery, AI is expanding in use cases and gaining momentum across all industries.
According to IDC, the market is expected to exceed US$423 billion by 2027 with a 5-year compound annual growth rate (CAGR) of 26.9%, with many businesses focusing their AI initiatives on improving operational efficiency, customer experience, and productivity.1
Amidst this rapid evolution, leaders are under pressure to identify, choose, buil...
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